IT and Software Development Certificate in Data Analytics 30 Hours 3 Months Beginner English Overview Syllabus Objectives Requirement Certification Features This certificate in data analytics provides an overview of topics in statistics and their applications in a variety of fields. This certificate will present the basics of quantitative analysis and its increasing use in today’s professional landscape. Learners are exposed to quantitative decision-making tools and techniques, which tie into real-world case studies. This course, offered by our accredited school partners, utilizes games, videos, interactive exercises, quizzes, real world case studies, and other engaging content to ensure rapid mastery of the content and direct application. Course videos and lessons focus on use of both Microsoft Excel and OpenOffice. This certificate will enhance skills in: Applying analytics in decision making Distinguishing good data from bad data Evaluating research techniques to yield the most accurate results Utilizing descriptive statistics in a variety of settings Creating a graphical representation of descriptive statistics Employing forecasting techniques Performing a regression analysis Making recommendations based on analytics Introduction to Data Analysis: Whatever your profession. Whatever your field. As a professional, and certainly as a leader, you will be asked to make a decision based on data. This course will introduce the different types of decisions made in an organizational setting, why quantitative analytics is important and how quality data can affect decision making. Since quantitative analytics is used in various settings, this course also offers insight into how research is used in different sectors and how it varies accordingly. From a management perspective, the course highlights appropriate methods on a case by case basis, and ways to ensure quality and accuracy through design. After completing this module, you should be able to: Explain why quantitative analysis and analytics is important in decision making Explain the types of decisions that can be made analytically in an organizational setting Describe different decision making models and tools Identify the fundamental concepts of measurement including levels of measurement, reliability and validity, errors, measurement and information bias Explain how quality data affects decision making (GIGO principle) Describe methods of ensuring the quality of data Evaluate techniques for ensuring accurate research design Describe how research is used in different settings: business, education, health care, the military, government, nonprofits Explain data management techniques including transforming data, recoding data, and handling missing data Apply appropriate decision making techniques to a specific case Data Analysis for Improving Organizational Performance: Organizational alignment around performance improvement requires effective leadership, communication, and visual tools to keep people engaged in the process and aware of progress updates. Organizations in both the public and private sectors often use tools and frameworks to support this kind of engagement. This course will explain some of these measures, describe the advantages and disadvantages of specific measurements and explain the relationship between assessment and strategy. After completing this module, you should be able to: Explain how performance measures are used in different settings Differentiate among various organizational performance measurements Describe the advantages and disadvantages of KPIs Describe the advantages and disadvantages of the Balanced Scorecard Describe the advantages and disadvantages of a Net Promoter Score Explain the relationship between performance assessment and organizational tactics and strategy Assess the validity of performance measures for an organization based on a brief case study Data Analysis in the Real World: How are data-driven decisions put into practice in the real world? How do these decisions differ when applied to different sectors, such as health care, education and government? This course will provide answers to these questions as well as recommendations for decisions based on data analytics for each sector. The course will begin with an introduction of Big Data and its implications and each section, case studies will bring the concepts to life. After completing this module, you should be able to: Explain the management implications of the use of business intelligence and knowledge management systems Define Big Data and describe its current uses for analysis and future potential and its implications Explain common analytics for business and quality improvement Recommend manufacturing business decisions based on data analytics Explain common analytics used in health care Recommend health care decisions based on data analytics Explain common analytics used in education Recommend educational decisions based in data analytics Explain common analytics used in government Recommend governmental decisions based on data analytics Statistical Process Control: When implemented with careful attention to collaborative data management and decision making, quality management can help deliver value and quality to customers and stakeholders. It can also enable data-driven decision making that helps organizations gain a competitive advantage in the marketplace. This course will introduce the basics of quality management, explaining the difference between quality control and quality assurance, providing methods for application of analysis, showing different applications of the Seven Basic Quality Tools. It all culminates in a brief case study, which illustrates the concepts covered. After completing this module, you should be able to: Describe principles that help guide quality management activities Use the Plan-Do-Check-Act cycle to coordinate work and implement change Explain the differences between quality control and quality assurance Create a SIPOC diagram to help visualize work as a process Explain the role that metrics and statistics play in measuring and controlling work processes Apply analysis and planning approaches to quality Explain how the Seven Basic Quality Tools are used to monitor and control quality processes Use the Seven Basic Quality Tools to process and sort non-numerical data Use the Seven Basic Quality Tools in combination to create powerful plans and solutions to quality problems Describe various quality management programs Employ quality management tools based on a brief case study Statistics as a Managerial Tool: Today, instinct is not enough to manage the flood of available data and the complexities of the business world. Statistics helps today’s leaders make sense of these complexities, back-up their assertions, and feel confident about when to take the risks that lead to successful outcomes. This course examines statistics as a managerial tool. It also looks at common graphical representations of data and how these can be effective tools to explain situations and support persuasive arguments for a course of action. After completing this module, you should be able to: Describe how statistics are used in different settings Describe common problems with, and misuse of, statistics Identify criteria for evaluating statistics Explain the key fundamentals of probability and their real-world application Identify the fundamental concepts of descriptive statistics (populations and samples, measures of central tendency, measures of variability, measures of distribution) and their real-world application Select appropriate graphic methods for displaying descriptive statistics Explain the fundamental concepts of inferential statistics and their real-world application Evaluate a scenario in order to determine the appropriate statistic to use Apply fundamental statistics to a real-world situation Evaluate the appropriateness of statistics used Use statistics to identify the most appropriate decision alternative Translate statistical data into a graphical presentation based on a brief case study Tools of Data Analysis: There are a number of statistical tools and techniques that are commonly used by organizations to inform decision making. These tools span numerous business functions and support many different objectives. This course describes, evaluates, and analyzes different statistical techniques and their real-world limitations and benefits. The course features crossover analysis, break-even analysis, cluster analysis, decision analysis as well as an introduction to regression. After completing this module, you should be able to: Evaluate the usefulness of different statistical techniques and their real-world application Describe the various forecasting techniques and the benefits and limitations Describe the various types of regression analysis and their real-world application Analyze the results of a regression analysis Describe common problems with multiple regression Describe other statistical techniques and their real-world application Explain the advantages and disadvantages of various statistical techniques Choose a statistical technique based on a brief case study Enroll through one of our accredited university or college partners today! Course modules: • Introduction to Data Analysis • Tools of Data Analysis • Data Analysis for Improving Organizational Performance • Data Analysis in the Real World • Statistical Process Control • Statistics as a Managerial Tool After completing this module, you should be able to: • Use quantitative analysis and analytics in decision making • Identify the fundamental concepts of measurement including levels of measurement, reliability and validity, errors, measurement and information bias • Use techniques for ensuring accurate research design • Use data management techniques including transforming data, recoding data, and handling missing data • Create a graphical representation of descriptive statistics • Use forecasting techniques and regression analysis • Understand the advantages and disadvantages of KPIs, Balanced Scorecard, and a Net Promoter Score • Use the Plan-Do-Check-Act cycle to coordinate work and implement change • Use the Seven Basic Quality Tools to process and sort non-numerical data All required reference materials are provided with this program. Technical requirements: Internet Connection • Broadband or High-Speed (DSL, Cable, Wireless) Hardware Requirements • Processor – 2GHz Processor or Higher • Memory – 1 GB RAM Minimum Recommended Software Requirements • Operating Systems – Windows 7, 8 or 10; Mac OS x 10 or higher • Microsoft Office 2007, 2010 or 2013 or a Word Processing application to save and open Microsoft Office formats (.doc, .docx, .xls, .xlsx, .ppt, .pptx) • Internet Browsers – Google Chrome is highly recommended • Cookies MUST be enabled • Pop-ups MUST be allowed (Pop-up Blocker disabled) • Adobe PDF Reader Relevancy – With annual reviews and enhancements, this program guarantees accurate and relevant curriculum that meets employer requirements for the knowledge and skills demanded to successfully enter the workforce. Career Readiness – Our Career Kit is designed to provide students with the practical tools they’ll need to help find a job once they have completed training and earned their certification. With our Career Kit, students are sure to impress! Using our practical templates and prompts, students can present their BEST self to future employers. Curriculum Format – We believe career training should be engaging and fun, not exhausting, and boring. To achieve this, we have developed our program with a mix of formats including reading material, video lectures, procedure videos, interactive activities and games, knowledge check ins, and section assessments. By incorporating a balanced mixture of interactivity, engagement, and comprehension testing, this program ensures a well-rounded experience for students that will not only fully prepare them to enter the workforce but also provide a fun, entertaining way to learn. With real-life procedure videos, students are provided a combination of comprehensive instructions, visual and auditory demonstrations, and hands-on practice exercises. 6 Reasons to Complete Your Training With Us Flexibility With our programs, you can learn and study at your own pace with access 24/7/365 for the duration of your program. This means you can learn on your own terms and work around your own schedule. Support Our online training comes with access to real, live support personnel that will help you through every step from our admissions adviser who will assist you with selecting the right training for you, to our student adviser who will be there with you during your entire training journey. Relevancy We have tailored our programs to provide comprehensive training in the technical and soft skills employers are looking for. With direct input and feedback from industry leaders and hiring managers, our program aligns with exactly what you need to successfully enter the workforce. Certification Our career training not only gives you the knowledge you need but preparation for the certification exams relevant to your desired career path. If you are pursuing an exciting new career in a field with a national certification, our program will both prepare you to sit for the exam but will often include a voucher for the exam cost. Simulations and Case Studies Our training programs have been developed with real learners and professionals in mind, so our programs incorporate real-world case studies and virtual simulations that will provide examples and interactions with real-life situations you may encounter during your career. These allow you to learn by experience with circumstances similar to what will be your daily responsibilities on the job. Engaging and Interactive Our training curriculum was developed with you in mind, looking at modern day learners and their needs. Our curriculum contains a mix of formats including reading, listening, watching, and interacting that will immerse you into a fun and engaging learning experience you will not only enjoy but not want to end. Program Description Description Audience Learning Objectives Support Description Completion Time This certificate in data analytics provides an overview of topics in statistics and their applications in a variety of fields. This certificate will present the basics of quantitative analysis and its increasing use in today’s professional landscape. Learners are exposed to quantitative decision-making tools and techniques, which tie into real-world case studies. This course, offered by our accredited school partners, utilizes games, videos, interactive exercises, quizzes, real world case studies, and other engaging content to ensure rapid mastery of the content and direct application. Course videos and lessons focus on use of both Microsoft Excel and OpenOffice. This certificate will enhance skills in: Applying analytics in decision making Distinguishing good data from bad data Evaluating research techniques to yield the most accurate results Utilizing descriptive statistics in a variety of settings Creating a graphical representation of descriptive statistics Employing forecasting techniques Performing a regression analysis Making recommendations based on analytics Introduction to Data Analysis: Whatever your profession. Whatever your field. As a professional, and certainly as a leader, you will be asked to make a decision based on data. This course will introduce the different types of decisions made in an organizational setting, why quantitative analytics is important and how quality data can affect decision making. Since quantitative analytics is used in various settings, this course also offers insight into how research is used in different sectors and how it varies accordingly. From a management perspective, the course highlights appropriate methods on a case by case basis, and ways to ensure quality and accuracy through design. After completing this module, you should be able to: Explain why quantitative analysis and analytics is important in decision making Explain the types of decisions that can be made analytically in an organizational setting Describe different decision making models and tools Identify the fundamental concepts of measurement including levels of measurement, reliability and validity, errors, measurement and information bias Explain how quality data affects decision making (GIGO principle) Describe methods of ensuring the quality of data Evaluate techniques for ensuring accurate research design Describe how research is used in different settings: business, education, health care, the military, government, nonprofits Explain data management techniques including transforming data, recoding data, and handling missing data Apply appropriate decision making techniques to a specific case Data Analysis for Improving Organizational Performance: Organizational alignment around performance improvement requires effective leadership, communication, and visual tools to keep people engaged in the process and aware of progress updates. Organizations in both the public and private sectors often use tools and frameworks to support this kind of engagement. This course will explain some of these measures, describe the advantages and disadvantages of specific measurements and explain the relationship between assessment and strategy. After completing this module, you should be able to: Explain how performance measures are used in different settings Differentiate among various organizational performance measurements Describe the advantages and disadvantages of KPIs Describe the advantages and disadvantages of the Balanced Scorecard Describe the advantages and disadvantages of a Net Promoter Score Explain the relationship between performance assessment and organizational tactics and strategy Assess the validity of performance measures for an organization based on a brief case study Data Analysis in the Real World: How are data-driven decisions put into practice in the real world? How do these decisions differ when applied to different sectors, such as health care, education and government? This course will provide answers to these questions as well as recommendations for decisions based on data analytics for each sector. The course will begin with an introduction of Big Data and its implications and each section, case studies will bring the concepts to life. After completing this module, you should be able to: Explain the management implications of the use of business intelligence and knowledge management systems Define Big Data and describe its current uses for analysis and future potential and its implications Explain common analytics for business and quality improvement Recommend manufacturing business decisions based on data analytics Explain common analytics used in health care Recommend health care decisions based on data analytics Explain common analytics used in education Recommend educational decisions based in data analytics Explain common analytics used in government Recommend governmental decisions based on data analytics Statistical Process Control: When implemented with careful attention to collaborative data management and decision making, quality management can help deliver value and quality to customers and stakeholders. It can also enable data-driven decision making that helps organizations gain a competitive advantage in the marketplace. This course will introduce the basics of quality management, explaining the difference between quality control and quality assurance, providing methods for application of analysis, showing different applications of the Seven Basic Quality Tools. It all culminates in a brief case study, which illustrates the concepts covered. After completing this module, you should be able to: Describe principles that help guide quality management activities Use the Plan-Do-Check-Act cycle to coordinate work and implement change Explain the differences between quality control and quality assurance Create a SIPOC diagram to help visualize work as a process Explain the role that metrics and statistics play in measuring and controlling work processes Apply analysis and planning approaches to quality Explain how the Seven Basic Quality Tools are used to monitor and control quality processes Use the Seven Basic Quality Tools to process and sort non-numerical data Use the Seven Basic Quality Tools in combination to create powerful plans and solutions to quality problems Describe various quality management programs Employ quality management tools based on a brief case study Statistics as a Managerial Tool: Today, instinct is not enough to manage the flood of available data and the complexities of the business world. Statistics helps today’s leaders make sense of these complexities, back-up their assertions, and feel confident about when to take the risks that lead to successful outcomes. This course examines statistics as a managerial tool. It also looks at common graphical representations of data and how these can be effective tools to explain situations and support persuasive arguments for a course of action. After completing this module, you should be able to: Describe how statistics are used in different settings Describe common problems with, and misuse of, statistics Identify criteria for evaluating statistics Explain the key fundamentals of probability and their real-world application Identify the fundamental concepts of descriptive statistics (populations and samples, measures of central tendency, measures of variability, measures of distribution) and their real-world application Select appropriate graphic methods for displaying descriptive statistics Explain the fundamental concepts of inferential statistics and their real-world application Evaluate a scenario in order to determine the appropriate statistic to use Apply fundamental statistics to a real-world situation Evaluate the appropriateness of statistics used Use statistics to identify the most appropriate decision alternative Translate statistical data into a graphical presentation based on a brief case study Tools of Data Analysis: There are a number of statistical tools and techniques that are commonly used by organizations to inform decision making. These tools span numerous business functions and support many different objectives. This course describes, evaluates, and analyzes different statistical techniques and their real-world limitations and benefits. The course features crossover analysis, break-even analysis, cluster analysis, decision analysis as well as an introduction to regression. After completing this module, you should be able to: Evaluate the usefulness of different statistical techniques and their real-world application Describe the various forecasting techniques and the benefits and limitations Describe the various types of regression analysis and their real-world application Analyze the results of a regression analysis Describe common problems with multiple regression Describe other statistical techniques and their real-world application Explain the advantages and disadvantages of various statistical techniques Choose a statistical technique based on a brief case study Enroll through one of our accredited university or college partners today! FAQ How do I request more information about a course? To request more information, you can contact us via online chat, our website contact form, or toll free at 1-855-201-6910. What is the difference between online courses and classroom courses? Online courses are accessible 24/7/365 and self-paced, allowing you to progress at your own pace on your own schedule. They can be taken from anywhere in the world from the comfort of your own home. Classroom courses have a set schedule of the days and times the courses will be held, and you must attend during those specific times. I’m not sure if I will be able to successfully take on online course, what should I do? Find out if online learning is right for you by contacting our team of registration advisers. Our team is available to answer any of your questions about taking an online course before you commit to enrolling. We will walk you through what to expect to ensure you are making the right decision. You can contact a registration adviser today via online chat, our website contact form, or toll free at 1-855-201-6910. Do I need a degree or high school diploma to take an online course? No, you are not required to have a diploma or higher education degree to enroll in an online course. However, some occupations may require minimum educational thresholds for employment or certification. For more information on your desired career requirements, please contact us via online chat, our website contact form, or toll free at 1-855-201-6910. What do I need to take an online course? To take an online course, you will need to have access to an internet connection and an internet ready device such as a laptop, PC, or tablet. For course specific requirements, please visit the course page or contact a registration adviser today. What format will my online course be in? Our courses are developed with multiple formats including text, audio, video, and interactivity. Our courses also include multiple resources and tools which can include flashcards, games, activities, and more. Do I have to be local to take a course? No, you can take the online courses from anywhere in the world. Do you offer or accept any financial assistance options? We participate in several financial assistance options including third party funding, both military and non-military. To request more information on the financial assistance options available and check your eligibility, contact us via online chat, our website contact form, or toll free at 1-855-201-6910. What does the course duration mean? Duration is the amount of time you will receive access to your course. Durations vary by course and range between 1 month and 12 months. If you complete your course before your duration ends you will continue to have access to your course until the duration period ends. What does “Certification Voucher Included” mean? Many of our career training programs include certification vouchers. This means that at the successful completion of your course, at no additional charge, you will receive an exam voucher for the corresponding industry certification. This voucher will allow you to register and sit for the appropriate certification exam to obtain your industry credential. When will I start my course? Our online courses are open enrollment, so you can start immediately. If you are using any third-party funding to cover your course tuition, your start date may be a future date determined by your funding program. What type of support will I receive during my course? Once enrolled, you will be assigned a client adviser who will provide you with customer and technical support. Your client adviser will supply you with your course access information, any needed materials, and be available to answer any questions you have during your training experience. They will regularly check-in with you to monitor your progress and assist you with staying on track. You will also be assigned to a course mentor who will provide curriculum support throughout your training. Your mentor is available to answer any questions you have on your course curriculum, will monitor your progress and understanding of the curriculum, and may give assignments or quizzes. Who do I contact if I cannot access my course? If you experience any trouble accessing your course including technical issues or lost login credentials, please contact your client adviser at Austin Peay State University. Who do I contact if I need an extension? Our goal for students is to successfully complete their training course and achieve their career goals. We understand that extenuating circumstances can interfere with your ability to complete your course in the duration given. Because of this we have free or low-cost extensions available for our courses upon request. To discuss or request an extension please contact your client adviser at Austin Peay State University. What do I receive when I complete my course? Upon successful completion of your course and fulfillment of any outstanding financial obligations, you will receive your certificate of completion. Certificates are provided to you within 30 days of completion. Your certificate will validate the training course you completed with a stamp of completion. Will I receive any job search assistance or externship opportunity after I finish my course? Students that successfully complete our career training programs are assigned a career development adviser who will coordinate placement at a local externship or hands on opportunity. These opportunities are optional and may vary based on availability and occupation. Your career development adviser will also provide job search services such as: resume building, mock interviews, job opportunity resources, and more. Our professional enrichment courses do not come with a career adviser or career services. $995.00 Enroll Now Overview Ready to dive in? 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